Research Pits Traditional Machine Translation Against LLM-Powered AI Translation – slator.com

As large language models (LLMs) continue to transform translation workflows, a new study underscores the ongoing importance of conventional, domain-specific machine translation (MT) models. While recognizing the impact of LLMs on translation processes, the researchers emphasize the need for careful evaluation of workflows to ensure optimal outcomes. Previous research has shown that MT systems often […]

The Year in Review and 2025 Predictions! – slator.com

In the 2024 year-end episode of SlatorPod, hosts Florian Faes and Esther Bond, along with guest Anna Wyndham, explore pivotal language industry trends from the past year and predictions for 2025. First, the language industry news of the week, with LXT’s acquisition of clickworker, which aims to expand its AI data capabilities and potentially double […]

Is Machine Translation Post-Editing Tedious? – slator.com

The language industry will remember 2024 as bringing an interesting mix of rapid-fire innovations and developments, with some clear trends emerging on the technology side, including translation as a feature (TaaF), multimodal AI adoption, retrieval augmented generation (RAG) applications, and large language model (LLM) customization. The balance between human expertise and AI automation continued to […]

Meet QueEn, a Large Language Model for Quechua-English Translation – slator.com

In a December 6, 2024 paper, researchers at the University of Georgia introduced QueEn, a large language model (LLM) tailored for Quechua-English translation. Quechua, also known as Runa Simi (the “language of the people”), is one of the most significant indigenous languages of the Americas. Once the administrative language of the Inca Empire, it remains […]